#AITradingAffectsForex Artificial Intelligence (AI) plays a transformative role in predicting Forex price movements by analyzing vast amounts of data more efficiently than traditional methods. AI models, particularly machine learning and deep learning algorithms, can detect complex patterns and trends that are often invisible to human traders. In Forex trading, supervised learning techniques like Neural Networks and Support Vector Machines (SVM) are commonly used to make predictions based on historical data. These models learn from labeled datasets to forecast price movements with reasonable accuracy. Meanwhile, unsupervised learning methods, such as clustering algorithms, help identify hidden structures within the data, aiding market segmentation and anomaly detection. Additionally, reinforcement learning is gaining popularity for developing adaptive trading strategies. This approach involves training models to maximize returns through trial and error, allowing them to adjust to changing market conditions. AI’s ability to process real-time data and generate predictive insights offers traders a significant advantage. However, challenges remain, including overfitting, data quality issues, and the inherent unpredictability of the Forex market. Despite these challenges, AI continues to enhance the accuracy and efficiency of trading strategies, making it an indispensable tool for modern traders.